Association Rule Mining | aiensured.com

In the AI usage context of e-commerce, we often find Recommendations from the e-commerce provider like "people who bought this item also bought this other item"
These recommendations are provided by the application of association rule mining algorithms
Association Rule Mining also known as market basket analysis is based on the analysis of transactions of users and based on the transactions the e-commerce provider finds items frequently bought together. So first it tries to find frequent item sets to suggest bundles of items. Then from these item sets, it breaks them into rules of the form if you bought x then recommend y from remaining items in the itemset..so this translates to "people who bought x also bought y"
This is a form of pattern recognition in unsupervised machine learning.
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